• SBIDER presents

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SBIDER presents

De: SBIDER
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  • Resumen

  • A podcast by staff and students from the Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research group (SBIDER), based at the University of Warwick.
    Copyright 2022 All rights reserved.
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Episodios
  • Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11

    Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11
    Jul 31 2024

    Phoebe Asplin discusses recent publications associated with her PhD project, using mathematical models as a tool to explore the extent to which symptom propagation exists and its subsequent impact on infectious disease and health economic modelling assessments. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!
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    13 m
  • Can we use mathematical modelling to investigate within-host dynamics of H5N1 influenza infection in humans? | SBIDER Presents - Episode 10

    Can we use mathematical modelling to investigate within-host dynamics of H5N1 influenza infection in humans? | SBIDER Presents - Episode 10
    Jun 21 2024

    In this episode of SBIDER Presents we are joined by Daniel Higgins, Josh Looker and Robert Sunnucks. We discuss their work on introducing a framework for intra-host dynamics and mutations modelling of H5N1 influenza infection in humans. Carried out as a group project as part of the Mathematics for Real-World Systems (MathSys) Centre for Doctoral Training MSc course, we also reflect on the group’s project experiences.

    Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!

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    28 m
  • How can we measure the growth of infections during an epidemic? | SBIDER Presents - Episode 9

    How can we measure the growth of infections during an epidemic? | SBIDER Presents - Episode 9
    Jan 5 2024

    We discuss the research article “Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England” and methods to get reasonable estimates of the change in rate of infection in small, localised populations. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!
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    20 m
Hygiene & Healthy Living Matemáticas Ciencias Biológicas
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